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Data Engineering Lead

EPAM Systems

Role overview

Qualifications

  • Minimum 5 years of relevant work experience in data engineering
  • Proficiency in Databricks and SQL
  • Expertise in Python / Pyspark and ETL processing
  • Background in managing complex data engineering projects

Responsibilities

  • Oversee the execution of ETL processes using Databricks notebooks
  • Manage and mentor a team of Data Engineers
  • Ensure the accuracy and quality of data processing and reporting
  • Collaborate closely with client stakeholders to understand and meet their data needs

Key facts

  • Remote from: Ukraine, Europe, EMEA
  • Full time
  • Senior (5-10 years)
  • Engineering Lead
  • English

Hard skills

Other skills

  • Collaboration
  • Relationship Building
  • Communication

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

Links

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Job description

We are seeking a seasoned Data Engineering Lead to join our project delivery stream. As a lead, you will direct a team of 2-4 Data Engineers, manage data processing operations for a particular market, and engage in hands-on engineering tasks utilizing Databricks on Azure. This role involves intensive collaboration with client stakeholders and contributes to the enhancement and development of our main platform. Responsibilities Oversee the execution of ETL processes using Databricks notebooks Manage and mentor a team of Data Engineers Ensure the accuracy and quality of data processing and reporting Collaborate closely with client stakeholders to understand and meet their data needs Participate in the central team’s efforts to implement improvements and evolve the main platform Support the integration of reporting and simulation applications with Power BI Requirements Minimum 5 years of relevant work experience in data engineering Proficiency in Databricks and SQL Expertise in Python / Pyspark and ETL processing Background in managing complex data engineering projects Capability to handle detailed and complex processes Strong collaboration and relationship-building skills Fluent English communication skills at a B2+ level Nice to have Knowledge of CI/CD and DevOps methodologies

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
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